High-Frequency Acoustic Estimation of Time-Varying Underwater Sparse Channels Using Multiple Sources and Receivers Operated Simultaneously

High-Frequency Acoustic Estimation of Time-Varying Underwater Sparse Channels Using Multiple Sources and Receivers Operated Simultaneously

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In this paper, the authors propose a robust underwater acoustic field estimation of the timevarying channel impulse response for simultaneous transmissions using multiple sources and multiple receivers [multi-in multi-out (MIMO)] that Different Fish Farming Patterns in Paddy Fields Substantially Impact the Bacterial Community Composition, Stability, and Assembly Processes in Paddy Water closely follows the rapidly time-varying nature of the underwater acoustic channel.The presented algorithm outlines a time-varying underwater channel estimation method based on the channel sparsity characteristic.The method uses the MIMO P-iterative greedy orthogonal matching pursuit algorithm and takes advantage of the sparsity of the underwater acoustic channel.This technique is Public concerns analysis and early warning of Mpox based on network data platforms—taking Baidu and WeChat as example compared to a trended least square estimation method presented by the authors in a previous publication.

Both techniques are demonstrated in a fully controlled environment, using simulated and experimental data, and the results in each case show a significant improvement in the estimation of the channel impulse response.